ArticleNutrition & diabetes2019
Overlapping spatial clusters of sugar-sweetened beverage intake and body mass index in Geneva state, Switzerland.
Article in Nutrition & diabetes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Oral Erythritol Reduces Energy Intake during a SubsequentNutrients · 2022Trial
- Environmental pollution, apolipoprotein A-1 autoantibodies and cardiovascular risk: evidence from a geospatial cross-sectional study.Atherosclerosis plus · 2026Article
- Obesity prevalence: comparison of traditional and new classification approaches in a Swiss population-based study (2005-2024).International journal of obesity (2005) · 2026Article
- Agreement between a new web-based and a legacy paper-based food frequency questionnaires in French-speaking Switzerland.Nutrition journal · 2026Article
- Spatiotemporal dynamics of breast cancer screening across half a million invitations in Geneva, Switzerland.Communications medicine · 2026Article
- Identifying obesogenic environment through spatial clustering of body mass index among adults.International journal of health geographics · 2024Article
- Spatial analysis of 10-year predicted risk and incident atherosclerotic cardiovascular disease: the CoLaus cohort.Scientific reports · 2024Article
- Article
- Geographic footprints of life expectancy inequalities in the state of Geneva, Switzerland.Scientific reports · 2021Article
- Article
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7 authors.
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Abstract
backgroundObesity and obesity-related diseases represent a major public health concern. Recently, studies have substantiated the role of sugar-sweetened beverages (SSBs) consumption in the development of these diseases. The fine identification of populations and areas in need for public health intervention remains challenging. This study investigates the existence of spatial clustering of SSB intake frequency (SSB-IF) and body mass index (BMI), and their potential spatial overlap in a population of adults of the state of Geneva using a fine-scale geospatial approach.
methodsWe used data on self-reported SSB-IF and measured BMI from residents aged between 20 and 74 years of the state of Geneva (Switzerland) that participated in the Bus Santé cross-sectional population-based study (n = 15,423). Getis-Ord Gi spatial indices were used to identify spatial clusters of SSB-IF and BMI in unadjusted models and models adjusted for individual covariates (education level, gender, age, nationality, and neighborhood-level median income).
resultsWe identified a significant spatial clustering of BMI and SSB-IF. 13.2% (n = 2034) of the participants were within clusters of higher SSB-IF and 10.7% (n = 1651) were within clusters of lower SSB-IF. We identified overlapping clusters of SSB-IF and BMI in specific areas where 11.1% (n = 1719) of the participants resided. After adjustment, the identified clusters persisted and were only slightly attenuated indicating that additional neighborhood-level determinants influence the spatial distribution of SSB-IF and BMI.
conclusionsOur fine-scale spatial approach allowed to identify specific populations and areas presenting higher SSB-IF and highlighted the existence of an overlap between populations and areas of higher SSB-IF associated with higher BMI. These findings could guide policymakers to develop locally tailored interventions such as targeted prevention campaigns and pave the way for precision public health delivery.
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